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## llm-wiki.md

      
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                karpathy
                / llm-wiki.md
            
            
              Created
              April 4, 2026 16:25
            
              
                llm-wiki
              
          
    LLM Wiki

A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

  
## work-diary.md

      
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                chris-belcher
                / work-diary.md
            
            
              Last active
              April 6, 2026 21:57
            
              
                Chris Belcher work diary
              
          
    Chris Belcher's Work Diary

I keep a diary of all the work I do on bitcoin privacy.
It may also be interesting to my collaborators and donors, and anyone who wants to follow
how my projects are going (these days I'm almost exclusively working on developing
CoinSwap, see https://gist.github.com/chris-belcher/9144bd57a91c194e332fb5ca371d0964).
Support this work with a donation: https://bitcoinprivacy.me/coinswap-donations

  
## patch-claude-code.sh
#!/usr/bin/env bash
set -euo pipefail

# patch-claude-code.sh — Rebalance Claude Code prompts to fix corner-cutting behavior
#
# What this does:
#   Patches the npm-installed @anthropic-ai/claude-code cli.js to rebalance
#   system prompt instructions that cause the model to cut corners, simplify
#   excessively, and defer complicated work.
#

## diffusion_cfg.py
# Classifier-free guidance diffusion on a toy spiral dataset
# Trains and infers a diffusion model on CPU, and generates a diffusion video

import io
import torch
import torchvision
import numpy as np
from torch import nn
from tqdm import tqdm
import matplotlib.pyplot as plt

## hypothesis.md

      
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                benvanik
                / hypothesis.md
            
            
              Last active
              April 6, 2026 21:55
            
              
                Anthropic Thinking Reduction
              
          
    Extended Thinking Is Load-Bearing for Senior Engineering Workflows

Produced by claude based on my extensive data - if there's any issues, it's because anthropic doesn't let claude think anymore ;) Unfortunately claude deleted my January logs containing a bulk of my work so only summary analysis is available - January was what I expect, Febuary started sliding, and March was a complete and utter loss.
Summary

Quantitative analysis of 17,871 thinking blocks and 234,760 tool calls across
6,852 Claude Code session files reveals that the rollout of thinking content
redaction (redact-thinking-2026-02-12) correlates precisely with a measured
quality regression in complex, long-session engineering workflows.

  
## shadertoy.md

      
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                markknol
                / shadertoy.md
            
            
              Last active
              April 6, 2026 21:54
            
              
                Shader cheatsheet (from shadertoy)
              
          
This help only covers the parts of GLSL ES that are relevant for Shadertoy. For the complete specification please have a look at GLSL ES specification

Language:

Version: WebGL 2.0

Arithmetic: ( ) + - ! * / %

Logical/Relatonal: ~ < > <= >= == != && ||

Bit Operators: & ^ | << >>

Comments: // /* */

Types: void bool int uint float vec2 vec3 vec4 bvec2 bvec3 bvec4 ivec2 ivec3 ivec4 uvec2 uvec3 uvec4 mat2 mat3 mat4 mat?x? sampler2D, sampler3D samplerCube

Format: float a = 1.0; int b = 1; uint i = 1U; int i = 0x1;

  
## token_analysis.py
#!/usr/bin/env python3
"""
Claude Code token usage analyzer.
Analyzes ~/.claude/projects/ JSONL files for token usage patterns.
"""

import json
import os
import sys
from pathlib import Path
	#!/usr/bin/env bash
	set -euo pipefail

	# patch-claude-code.sh — Rebalance Claude Code prompts to fix corner-cutting behavior
	#
	# What this does:
	# Patches the npm-installed @anthropic-ai/claude-code cli.js to rebalance
	# system prompt instructions that cause the model to cut corners, simplify
	# excessively, and defer complicated work.
	#
	# Classifier-free guidance diffusion on a toy spiral dataset
	# Trains and infers a diffusion model on CPU, and generates a diffusion video

	import io
	import torch
	import torchvision
	import numpy as np
	from torch import nn
	from tqdm import tqdm
	import matplotlib.pyplot as plt
	#!/usr/bin/env python3
	"""
	Claude Code token usage analyzer.
	Analyzes ~/.claude/projects/ JSONL files for token usage patterns.
	"""

	import json
	import os
	import sys
	from pathlib import Path